Questions tagged [doc2vec]
The doc2vec tag has no usage guidance.
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Document Similarity to List of Words in Sentiment Analysis [closed]
How would you go about finding document similarity to a list of words in Sentiment Analysis?
Looking find document similarity to multiple lists of words in sentiment analysis. I had been working on ...
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25 views
Doc2Vec most_similar() returns cosine similarity for inferred out-of-training-set vectors
According to the gensim documentation the doc2vec function most_similar() can be called with a doctag and returns the top_n most similar documents (which were also present in the training set)
Out-of-...
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2answers
85 views
Word2Vec with CNN
I am trying to classify documents using CNN (convolutional neural network) with Word2Vec embeddings. However to do this, it requires me to trim all texts to the same length. I just pad all the ...
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19 views
Topic alignment / topic modelling
What is the most efficient method for detecting whether the article is mostly about a specific topic, but without lots of data for training? My task is to determine how much a document is e.g. about ...
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1answer
51 views
How to implement LSTM using Doc2Vec vectors to get representation?
Hi all. I'm a newbie in ML. I read and found a paper about A Multi-Level Plagiarism Detection System Based on Deep Learning Algorithms and want to implement this model . But I can't find more about ...
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26 views
T-SNE good clustering but SVM classification poor
I am trying to classify in 4 different classes, paragraph embedding vector computed with doc2vec using an non-linear svm over them.
When I visualize the embeddings using tensorboard t-sne I can see ...
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1answer
394 views
Use embeddings to find similarity between documents
I need to find cosine similarity between two text documents. I need embeddings that reflect order of the word sequence, so I don't plan to use document vectors built with bag of words or TF/IDF. ...
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1answer
59 views
Approach to semantic similarity between documents
I was wondering what approach people would take, or point me in the right direction on this challenge I have set myself. I am pretty new at this, I have covered some area but want to expand my ...
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0answers
16 views
Can feature representation acquired by a same model but trained on different corpus be used on the same classification model?
For example, if I wanna do document classification with doc2vec embeddings, first I train the training set to get doc2vec embeddings, and fit the embeddings to a classification model; later on when I ...
